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@arnaldog12
arnaldog12 / BalancedDataGenerator.py
Last active July 9, 2022 03:32
BalancedDataGenerator
from keras.utils.data_utils import Sequence
from imblearn.over_sampling import RandomOverSampler
from imblearn.keras import balanced_batch_generator
class BalancedDataGenerator(Sequence):
"""ImageDataGenerator + RandomOversampling"""
def __init__(self, x, y, datagen, batch_size=32):
self.datagen = datagen
self.batch_size = min(batch_size, x.shape[0])
datagen.fit(x)
@tomahim
tomahim / data_augmentation.py
Last active January 20, 2022 08:26
Data augmentation in few lines with skimage
import os
import random
from scipy import ndarray
# image processing library
import skimage as sk
from skimage import transform
from skimage import util
from skimage import io
@didacroyo
didacroyo / ftInceptionV3.py
Last active April 21, 2024 11:44
InceptionV3 Fine Tuning with Keras
# from the guide https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
# and from other resources found, trying to achieve a good classifier based on Inveption V3 pre-trained netfork
from keras.applications.inception_v3 import InceptionV3
from keras.preprocessing import image
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras import backend as K
from keras.callbacks import ModelCheckpoint